The hidden $2 trillion AI ops problem

Hyperscaler GPU procurement is on track to cross multi-trillion-dollar cumulative spend, but the operational cost of keeping clusters healthy is growing faster than capital spending. GPU node failures require manual detection and remediation by high-cost engineers, with routine idle rates above thirty percent on production accelerators.